Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek Coder 2.0 is clearly ahead on the aggregate, 66 to 55. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek Coder 2.0's sharpest advantage is in coding, where it averages 52.8 against 33. The single biggest benchmark swing on the page is SWE-bench Pro, 61 to 34. Ministral 3 14B does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
DeepSeek Coder 2.0 is also the more expensive model on tokens at $0.27 input / $1.10 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ministral 3 14B. That is roughly Infinityx on output cost alone.
Pick DeepSeek Coder 2.0 if you want the stronger benchmark profile. Ministral 3 14B only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
DeepSeek Coder 2.0
67.5
Ministral 3 14B
48.4
DeepSeek Coder 2.0
52.8
Ministral 3 14B
33
DeepSeek Coder 2.0
58.6
Ministral 3 14B
70.5
DeepSeek Coder 2.0
75.5
Ministral 3 14B
63.6
DeepSeek Coder 2.0
59.6
Ministral 3 14B
50.1
DeepSeek Coder 2.0
86
Ministral 3 14B
80
DeepSeek Coder 2.0
79.8
Ministral 3 14B
76.8
DeepSeek Coder 2.0
80.5
Ministral 3 14B
69.7
DeepSeek Coder 2.0 is ahead overall, 66 to 55. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 61 and 34.
DeepSeek Coder 2.0 has the edge for knowledge tasks in this comparison, averaging 59.6 versus 50.1. Inside this category, FrontierScience is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for coding in this comparison, averaging 52.8 versus 33. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for math in this comparison, averaging 80.5 versus 69.7. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for reasoning in this comparison, averaging 75.5 versus 63.6. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for agentic tasks in this comparison, averaging 67.5 versus 48.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for multimodal and grounded tasks in this comparison, averaging 70.5 versus 58.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for instruction following in this comparison, averaging 86 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for multilingual tasks in this comparison, averaging 79.8 versus 76.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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